Feature models are the de facto standard for modelling variabilities and commonalities in
features and relationships in software product lines. They are the base artefacts in many …

This open access book provides a basic introduction to feature modelling and analysis as
well as to the integration of AI methods with feature modelling. It is intended as an …

Data visualization aims to convey quantitative and qualitative information effectively by
determining which techniques and visualizations are most appropriate for different situations …

Abstract Develo** and maintaining Feature Models (FMs) can become an errorprone
activity. In this chapter, we focus on different aspects of analyzing relevant properties of FMs …

In this chapter, we describe the basis of Feature Models (FMs) using graphical as well as
textual representations. We introduce a smartwatch FM that will be used as a working …

In this chapter, we discuss different AI techniques that can be applied to support interactive
FM configuration scenarios. We have in mind situations where the user of a FM configurator …

The configuration space of some systems is so large that it cannot be computed. This is the
case with the Linux Kernel, which provides almost 19,000 configurable options described …

Kconfig is the de facto configuration language for describing and configuring the variability
of the Linux kernel. Nonetheless, it has been used since the early stages of kernel …

Abstract Feature Models (FMs) are not only an active scientific topic but they are supported
by many tools from industry and academia. In this chapter, we provide an overview of …

Feature models (FMs) have become a fundamental means of representing variability
knowledge related to software systems, services, and also physical products such as …